Abstract
In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a correspondence module, which relates image data to model data and a pose estimation module. Experiments are done in a four camera setup and we estimate the model components with 21 degrees of freedom in two frames per second. Finally, we perform a comparison of the motion estimation system with a marker based tracking system to perform a quantitative error analysis. The results show the applicability of the system for marker-less sports movement analysis.
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Rosenhahn, B., Kersting, U.G., Smith, A.W., Gurney, J.K., Brox, T., Klette, R. (2005). A System for Marker-Less Human Motion Estimation. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds) Pattern Recognition. DAGM 2005. Lecture Notes in Computer Science, vol 3663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550518_29
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DOI: https://doi.org/10.1007/11550518_29
Publisher Name: Springer, Berlin, Heidelberg
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